Papers

2

Total Citations

6

H-Index

2

About

Dong Ding is a researcher whose work bridges the frontiers of industrial automation and surgical robotics. His primary research areas include high-speed manufacturing systems, kinematic simulation, and the application of robotic technologies in general surgery. Ding made a notable contribution to the automotive industry with his 2018 study on the development of a kinematic simulation system for high-speed press line automated feeding robots. This work, cited 4 times, introduced real-time kinematic curve generation to prevent interference, directly enhancing production efficiency in a fiercely competitive sector. Earlier, in 2013, Ding authored a comprehensive review on the state of medical robots in general surgery, which has garnered 2 citations. This paper traces the evolution from traditional open surgery to minimally invasive laparoscopy, highlighting how robotic systems are enabling more precise, less invasive procedures. Through these contributions, Ding demonstrates a dual expertise in optimizing heavy industrial processes and advancing patient-centered surgical technologies, marking him as a versatile engineer focused on practical, high-impact automation solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Development of kinematic simulation system for high-speed press line automated feeding robot
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Ministry of Education of the People's Republic of China, Xi'an Jiaotong University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago